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Joris Van den Bossche commented on ARROW-13767:
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Just a note that there is also a C++ {{Table::Slice}} method that can already
be directly used for this (not a compute kernel, though, but method on the
Table). The {{pyarrow.Table.slice}} method uses that
(https://github.com/apache/arrow/blob/26a34c3a2300620787806c5a8cee08ff30610e3e/python/pyarrow/table.pxi#L1307-L1334).
> [R] Add Arrow methods slice(), slice_head(), slice_tail()
> ---------------------------------------------------------
>
> Key: ARROW-13767
> URL: https://issues.apache.org/jira/browse/ARROW-13767
> Project: Apache Arrow
> Issue Type: Improvement
> Components: R
> Reporter: Ian Cook
> Priority: Major
>
> Implement [{{slice()}}, {{slice_head()}}, and
> {{slice_tail()}}|https://dplyr.tidyverse.org/reference/slice.html] methods
> for {{ArrowTabular}}, {{Dataset}}, and {{arrow_dplyr_query}} objects . I
> believe this should be relatively straightforward, using {{Take()}} to return
> only the specified rows. We already have a {{head()}} method which I believe
> we can reuse for {{slice_head()}}.
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